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Figure 6 | Genome Biology

Figure 6

From: Application of independent component analysis to microarrays

Figure 6

Comparison of linear ICA (NMLE) versus topomap-based clustering on the C. elegans spotted array dataset (dataset 4). For each functional category within GO and KEGG, the value of -log10 (p value) with the smallest p value from NMLE is plotted against the corresponding value from the topomap method. (a) Gene clusters based on the NMLE components are compared with those based on the Topomap method. The two methods performed comparably, as most points of low p values fall on the x = y axis. (b) TP (True Positives) of functional categories from gene clusters based on the NMLE components are compared with those of functional categories from gene clusters based on the topomap method. Functional categories for which clusters from NMLE have larger p values than those from topomap method are colored in purple. (c) SN (Sensitivity) of functional categories from gene clusters based on the linear NMLE and topomap clusters. Functional categories corresponding to the ones in purple in Figure 6b are colored in purple.

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